{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ATL03 data dawnload"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook is for downloading the ATL03 data for Unsupervised Surface Classification procject at Hackweek 2020."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**This file must be finished downloading the correct variables, currently sigma_h is downloaded**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reading in the modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from icepyx import icesat2data as ipd\n",
    "import os\n",
    "import shutil\n",
    "from pprint import pprint\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Specify data with inputs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here the middle of Greenland Ice Sheet is chosen, hopefully the signal will be related only to snow or firn, no rocks. Additionally, the time period is set ending 2 weeks before the first melt event of 2019."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# somewhere middle of GIS\n",
    "short_name = 'ATL03'\n",
    "spatial_extent = [-38.5, 75.5, -36.5, 76.5] #long_min, long_max, lat_min, lat_max\n",
    "date_range = ['2019-05-22','2019-06-01']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Populating data object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "region_gis = ipd.Icesat2Data(short_name, spatial_extent, date_range)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reading the objects properties:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ATL03\n",
      "['2019-05-22', '2019-06-01']\n",
      "00:00:00\n",
      "23:59:59\n",
      "003\n",
      "['bounding box', [-38.5, 75.5, -36.5, 76.5]]\n"
     ]
    }
   ],
   "source": [
    "print(region_gis.dataset)\n",
    "print(region_gis.dates)\n",
    "print(region_gis.start_time)\n",
    "print(region_gis.end_time)\n",
    "print(region_gis.dataset_version)\n",
    "print(region_gis.spatial_extent)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualise the extend:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_gis.visualize_spatial_extent()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reading the overview info of the available data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dataset_id :  ATLAS/ICESat-2 L2A Global Geolocated Photon Data V003\n",
      "short_name :  ATL03\n",
      "version_id :  003\n",
      "time_start :  2018-10-13T00:00:00.000Z\n",
      "coordinate_system :  CARTESIAN\n",
      "summary :  This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03.\n",
      "orbit_parameters :  {'swath_width': '36.0', 'period': '94.29', 'inclination_angle': '92.0', 'number_of_orbits': '0.071428571', 'start_circular_latitude': '0.0'}\n"
     ]
    }
   ],
   "source": [
    "region_gis.dataset_summary_info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The all the details about available data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'feed': {'entry': [{'archive_center': 'NASA NSIDC DAAC',\n",
      "                     'associations': {'services': ['S1568899363-NSIDC_ECS',\n",
      "                                                   'S1613669681-NSIDC_ECS',\n",
      "                                                   'S1613689509-NSIDC_ECS']},\n",
      "                     'boxes': ['-90 -180 90 180'],\n",
      "                     'browse_flag': False,\n",
      "                     'coordinate_system': 'CARTESIAN',\n",
      "                     'data_center': 'NSIDC_ECS',\n",
      "                     'dataset_id': 'ATLAS/ICESat-2 L2A Global Geolocated '\n",
      "                                   'Photon Data V002',\n",
      "                     'has_formats': True,\n",
      "                     'has_spatial_subsetting': True,\n",
      "                     'has_temporal_subsetting': True,\n",
      "                     'has_transforms': False,\n",
      "                     'has_variables': True,\n",
      "                     'id': 'C1631076758-NSIDC_ECS',\n",
      "                     'links': [{'href': 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL03.002/',\n",
      "                                'hreflang': 'en-US',\n",
      "                                'length': '0.0KB',\n",
      "                                'rel': 'http://esipfed.org/ns/fedsearch/1.1/data#'},\n",
      "                               {'href': 'https://search.earthdata.nasa.gov/search/granules?p=C1631076758-NSIDC_ECS&q=atl03&m=-74.22868576110892!-1.6754150390625!1!1!0!0%2C2&tl=1555860221!4!!',\n",
      "                                'hreflang': 'en-US',\n",
      "                                'length': '0.0KB',\n",
      "                                'rel': 'http://esipfed.org/ns/fedsearch/1.1/data#'},\n",
      "                               {'href': 'http://openaltimetry.org/',\n",
      "                                'hreflang': 'en-US',\n",
      "                                'length': '0.0KB',\n",
      "                                'rel': 'http://esipfed.org/ns/fedsearch/1.1/data#'},\n",
      "                               {'href': 'https://doi.org/10.5067/ATLAS/ATL03.002',\n",
      "                                'hreflang': 'en-US',\n",
      "                                'rel': 'http://esipfed.org/ns/fedsearch/1.1/metadata#'},\n",
      "                               {'href': 'https://doi.org/10.5067/ATLAS/ATL03.002',\n",
      "                                'hreflang': 'en-US',\n",
      "                                'rel': 'http://esipfed.org/ns/fedsearch/1.1/documentation#'}],\n",
      "                     'online_access_flag': True,\n",
      "                     'orbit_parameters': {'inclination_angle': '92.0',\n",
      "                                          'number_of_orbits': '0.071428571',\n",
      "                                          'period': '94.29',\n",
      "                                          'start_circular_latitude': '0.0',\n",
      "                                          'swath_width': '36.0'},\n",
      "                     'organizations': ['NASA NSIDC DAAC',\n",
      "                                       'NASA/GSFC/EOS/ESDIS'],\n",
      "                     'original_format': 'ISO19115',\n",
      "                     'processing_level_id': 'Level 2A',\n",
      "                     'short_name': 'ATL03',\n",
      "                     'summary': 'This data set (ATL03) contains height above '\n",
      "                                'the WGS 84 ellipsoid (ITRF2014 reference '\n",
      "                                'frame), latitude, longitude, and time for all '\n",
      "                                'photons downlinked by the Advanced '\n",
      "                                'Topographic Laser Altimeter System (ATLAS) '\n",
      "                                'instrument on board the Ice, Cloud and land '\n",
      "                                'Elevation Satellite-2 (ICESat-2) observatory. '\n",
      "                                'The ATL03 product was designed to be a single '\n",
      "                                'source for all photon data and ancillary '\n",
      "                                'information needed by higher-level '\n",
      "                                'ATLAS/ICESat-2 products. As such, it also '\n",
      "                                'includes spacecraft and instrument parameters '\n",
      "                                'and ancillary data not explicitly required '\n",
      "                                'for ATL03.',\n",
      "                     'time_start': '2018-10-13T00:00:00.000Z',\n",
      "                     'title': 'ATLAS/ICESat-2 L2A Global Geolocated Photon '\n",
      "                              'Data V002',\n",
      "                     'version_id': '002'},\n",
      "                    {'archive_center': 'NASA NSIDC DAAC',\n",
      "                     'associations': {'services': ['S1568899363-NSIDC_ECS',\n",
      "                                                   'S1613669681-NSIDC_ECS',\n",
      "                                                   'S1613689509-NSIDC_ECS']},\n",
      "                     'boxes': ['-90 -180 90 180'],\n",
      "                     'browse_flag': False,\n",
      "                     'coordinate_system': 'CARTESIAN',\n",
      "                     'data_center': 'NSIDC_ECS',\n",
      "                     'dataset_id': 'ATLAS/ICESat-2 L2A Global Geolocated '\n",
      "                                   'Photon Data V003',\n",
      "                     'has_formats': True,\n",
      "                     'has_spatial_subsetting': True,\n",
      "                     'has_temporal_subsetting': True,\n",
      "                     'has_transforms': False,\n",
      "                     'has_variables': True,\n",
      "                     'id': 'C1705401930-NSIDC_ECS',\n",
      "                     'links': [{'href': 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL03.003/',\n",
      "                                'hreflang': 'en-US',\n",
      "                                'length': '0.0KB',\n",
      "                                'rel': 'http://esipfed.org/ns/fedsearch/1.1/data#'},\n",
      "                               {'href': 'https://search.earthdata.nasa.gov/search/granules?p=C1705401930-NSIDC_ECS&q=atl03%20v003&m=-29.109278436791882!-59.86889648437499!1!1!0!0%2C2&tl=1572814258!4!!',\n",
      "                                'hreflang': 'en-US',\n",
      "                                'length': '0.0KB',\n",
      "                                'rel': 'http://esipfed.org/ns/fedsearch/1.1/data#'},\n",
      "                               {'href': 'http://openaltimetry.org/',\n",
      "                                'hreflang': 'en-US',\n",
      "                                'length': '0.0KB',\n",
      "                                'rel': 'http://esipfed.org/ns/fedsearch/1.1/data#'},\n",
      "                               {'href': 'https://doi.org/10.5067/ATLAS/ATL03.003',\n",
      "                                'hreflang': 'en-US',\n",
      "                                'rel': 'http://esipfed.org/ns/fedsearch/1.1/metadata#'},\n",
      "                               {'href': 'https://doi.org/10.5067/ATLAS/ATL03.003',\n",
      "                                'hreflang': 'en-US',\n",
      "                                'rel': 'http://esipfed.org/ns/fedsearch/1.1/documentation#'}],\n",
      "                     'online_access_flag': True,\n",
      "                     'orbit_parameters': {'inclination_angle': '92.0',\n",
      "                                          'number_of_orbits': '0.071428571',\n",
      "                                          'period': '94.29',\n",
      "                                          'start_circular_latitude': '0.0',\n",
      "                                          'swath_width': '36.0'},\n",
      "                     'organizations': ['NASA NSIDC DAAC',\n",
      "                                       'NASA/GSFC/EOS/ESDIS'],\n",
      "                     'original_format': 'ISO19115',\n",
      "                     'processing_level_id': 'Level 2A',\n",
      "                     'short_name': 'ATL03',\n",
      "                     'summary': 'This data set (ATL03) contains height above '\n",
      "                                'the WGS 84 ellipsoid (ITRF2014 reference '\n",
      "                                'frame), latitude, longitude, and time for all '\n",
      "                                'photons downlinked by the Advanced '\n",
      "                                'Topographic Laser Altimeter System (ATLAS) '\n",
      "                                'instrument on board the Ice, Cloud and land '\n",
      "                                'Elevation Satellite-2 (ICESat-2) observatory. '\n",
      "                                'The ATL03 product was designed to be a single '\n",
      "                                'source for all photon data and ancillary '\n",
      "                                'information needed by higher-level '\n",
      "                                'ATLAS/ICESat-2 products. As such, it also '\n",
      "                                'includes spacecraft and instrument parameters '\n",
      "                                'and ancillary data not explicitly required '\n",
      "                                'for ATL03.',\n",
      "                     'time_start': '2018-10-13T00:00:00.000Z',\n",
      "                     'title': 'ATLAS/ICESat-2 L2A Global Geolocated Photon '\n",
      "                              'Data V003',\n",
      "                     'version_id': '003'}],\n",
      "          'id': 'https://cmr.earthdata.nasa.gov:443/search/collections.json?short_name=ATL03',\n",
      "          'title': 'ECHO dataset metadata',\n",
      "          'updated': '2020-06-16T12:25:54.083Z'}}\n"
     ]
    }
   ],
   "source": [
    "region_gis.dataset_all_info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we review the specified parameters and then check how many and which granules are available for download. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'short_name': 'ATL03',\n",
       " 'version': '003',\n",
       " 'temporal': '2019-05-22T00:00:00Z,2019-06-01T23:59:59Z',\n",
       " 'bounding_box': '-38.5,75.5,-36.5,76.5'}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#reviewing parameters\n",
    "region_gis.CMRparams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Number of available granules': 5,\n",
       " 'Average size of granules (MB)': 3187.5103746413997,\n",
       " 'Total size of all granules (MB)': 15937.551873207}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking how many granules\n",
    "region_gis.avail_granules()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ATL03_20190522064950_08250303_003_01.h5',\n",
       " 'ATL03_20190525195203_08790305_003_01.h5',\n",
       " 'ATL03_20190526064130_08860303_003_01.h5',\n",
       " 'ATL03_20190529194342_09400305_003_01.h5',\n",
       " 'ATL03_20190530063310_09470303_003_01.h5']"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking what granules\n",
    "region_gis.avail_granules(ids=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'producer_granule_id': 'ATL03_20190522064950_08250303_003_01.h5',\n",
       "  'time_start': '2019-05-22T06:49:52.000Z',\n",
       "  'orbit': {'ascending_crossing': '-22.449472196227994',\n",
       "   'start_lat': '59.5',\n",
       "   'start_direction': 'A',\n",
       "   'end_lat': '80',\n",
       "   'end_direction': 'A'},\n",
       "  'updated': '2020-05-04T16:34:05.922Z',\n",
       "  'orbit_calculated_spatial_domains': [{'equator_crossing_date_time': '2019-05-22T06:34:18.301Z',\n",
       "    'equator_crossing_longitude': '-22.449472196227994',\n",
       "    'orbit_number': '3800'}],\n",
       "  'dataset_id': 'ATLAS/ICESat-2 L2A Global Geolocated Photon Data V003',\n",
       "  'data_center': 'NSIDC_ECS',\n",
       "  'title': 'SC:ATL03.003:177292034',\n",
       "  'coordinate_system': 'ORBIT',\n",
       "  'time_end': '2019-05-22T06:55:12.000Z',\n",
       "  'id': 'G1721696247-NSIDC_ECS',\n",
       "  'original_format': 'ISO-SMAP',\n",
       "  'granule_size': '1966.4286241531',\n",
       "  'browse_flag': True,\n",
       "  'polygons': [['59.363135691245354 -30.03996539229416 78.32396263533637 -38.13328447157254 79.57172628019077 -39.525524727776485 79.63437062477372 -37.764338637297605 78.3799570426173 -36.5529339865358 59.385327667727246 -29.40557361443209 59.363135691245354 -30.03996539229416']],\n",
       "  'collection_concept_id': 'C1705401930-NSIDC_ECS',\n",
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       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.gt3l.groundtrack.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.gt3l.photons_inlandwater.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.gt3l.photons_landice.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.gt3l.photons_land.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.gt3l.photons_ocean.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.gt3l.photons_seaice.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.bkcgrd_rate.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.dac.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.neutat_delay_total.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.neutat_ht.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.podppd_flag.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.ref_azimuth.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.ref_elev.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.solar_azimuth.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.solar_elevation.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.tide_earth.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.tide_equilibrium.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.tide_load.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.tide_ocean.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.tide_oc_pole.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/browse#',\n",
       "    'type': 'image/jpeg',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP0/BRWS/Browse.001/2020.04.10/ATL03_20190530063310_09470303_003_01_BRW.h5.images.tide_pole.jpg'},\n",
       "   {'rel': 'http://esipfed.org/ns/fedsearch/1.1/metadata#',\n",
       "    'type': 'text/xml',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL03.003/2019.05.30/ATL03_20190530063310_09470303_003_01.iso.xml'},\n",
       "   {'inherited': True,\n",
       "    'length': '0.0KB',\n",
       "    'rel': 'http://esipfed.org/ns/fedsearch/1.1/data#',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://n5eil01u.ecs.nsidc.org/ATLAS/ATL03.003/'},\n",
       "   {'inherited': True,\n",
       "    'length': '0.0KB',\n",
       "    'rel': 'http://esipfed.org/ns/fedsearch/1.1/data#',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://search.earthdata.nasa.gov/search/granules?p=C1705401930-NSIDC_ECS&q=atl03%20v003&m=-29.109278436791882!-59.86889648437499!1!1!0!0%2C2&tl=1572814258!4!!'},\n",
       "   {'inherited': True,\n",
       "    'length': '0.0KB',\n",
       "    'rel': 'http://esipfed.org/ns/fedsearch/1.1/data#',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'http://openaltimetry.org/'},\n",
       "   {'inherited': True,\n",
       "    'rel': 'http://esipfed.org/ns/fedsearch/1.1/metadata#',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://doi.org/10.5067/ATLAS/ATL03.003'},\n",
       "   {'inherited': True,\n",
       "    'rel': 'http://esipfed.org/ns/fedsearch/1.1/documentation#',\n",
       "    'hreflang': 'en-US',\n",
       "    'href': 'https://doi.org/10.5067/ATLAS/ATL03.003'}]}]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#print detailed information about the returned search results\n",
    "region_gis.granules.avail"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Downloading data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First log in to NASA Earthdata."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Earthdata Login password:  ·············\n"
     ]
    }
   ],
   "source": [
    "# Fill this in with your Earthdata Login user name and associated email\n",
    "\n",
    "earthdata_uid = 'kmsejan'\n",
    "email = 'k.m.sejan@uu.nl'\n",
    "region_gis.earthdata_login(earthdata_uid, email)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Printing the names of parameters in the granules:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "var_list inputs: ds_surf_type, ds_xyz, atlas_sdp_gps_epoch, control, data_end_utc, data_start_utc, end_cycle, end_delta_time, end_geoseg, end_gpssow, end_gpsweek, end_orbit, end_region, end_rgt, granule_end_utc, granule_start_utc, release, start_cycle, start_delta_time, start_geoseg, start_gpssow, start_gpsweek, start_orbit, start_region, start_rgt, version, atl03_pad, band_tol, min_full_sat, min_near_sat, min_sat_h, podppd_pad, det_ab_flag, ds_gt, ds_stat, hvpc_ab_flag, laser_12_flag, lrs_ab_flag, pdu_ab_flag, ph_uncorrelated_error, spd_ab_flag, tams_ab_flag, rx_bckgrd_sensitivity, rx_return_sensitivity, tx_pulse_distribution, tx_pulse_energy, tx_pulse_skew_est, tx_pulse_thresh_lower, tx_pulse_thresh_upper, tx_pulse_width_lower, tx_pulse_width_upper, ds_channel, cal42_product, side, temperature, gt1l, gt1r, gt2l, gt2r, gt3l, gt3r, cal34_product, cal19_product, bin_width, cal20_product, hist_x, laser, mode, num_bins, return_source, addpad_flag, alpha_inc, alpha_max, delta_t_gap_min, delta_t_lin_fit, delta_t_max, delta_t_min, delta_z_bg, delta_zmax2, delta_zmin, e_a, e_linfit_edit, e_linfit_slant, e_m, e_m_mult, htspanmin, lslant_flag, min_fit_time_fact, nbin_min, n_delta_z1, n_delta_z2, nphot_min, nslw, nslw_v, out_edit_flag, pc_bckgrd_flag, r, r2, sig_find_t_inc, snrlow, snrmed, t_gap_big, min_tep_ph, min_tep_secs, n_tep_bins, tep_bin_size, tep_gap_size, tep_normalize, tep_peak_bins, tep_prim_window, tep_range_prim, tep_rm_noise, tep_sec_window, tep_start_x, tep_valid_spot, reference_tep_flag, tep_bckgrd, tep_duration, tep_hist, tep_hist_sum, tep_hist_time, tep_tod, bckgrd_counts, bckgrd_counts_reduced, bckgrd_hist_top, bckgrd_int_height, bckgrd_int_height_reduced, bckgrd_rate, delta_time, pce_mframe_cnt, tlm_height_band1, tlm_height_band2, tlm_top_band1, tlm_top_band2, altitude_sc, bounce_time_offset, full_sat_fract, near_sat_fract, neutat_delay_derivative, neutat_delay_total, neutat_ht, ph_index_beg, podppd_flag, range_bias_corr, ref_azimuth, ref_elev, reference_photon_index, reference_photon_lat, reference_photon_lon, segment_dist_x, segment_id, segment_length, segment_ph_cnt, sigma_across, sigma_along, sigma_h, sigma_lat, sigma_lon, solar_azimuth, solar_elevation, surf_type, velocity_sc, dac, dem_flag, dem_h, geoid, tide_earth, tide_equilibrium, tide_load, tide_ocean, tide_oc_pole, tide_pole, dist_ph_across, dist_ph_along, h_ph, lat_ph, lon_ph, ph_id_channel, ph_id_count, ph_id_pulse, signal_conf_ph, bckgrd_mean, bckgrd_sigma, t_pc_delta, z_pc_delta, crossing_time, cycle_number, lan, orbit_number, rgt, sc_orient, sc_orient_time, qa_granule_fail_reason, qa_granule_pass_fail, qa_perc_signal_conf_ph_high, qa_perc_signal_conf_ph_low, qa_perc_signal_conf_ph_med, qa_perc_surf_type, qa_total_signal_conf_ph_high, qa_total_signal_conf_ph_low, qa_total_signal_conf_ph_med\n",
      "keyword_list and beam_list inputs: altimetry, ancillary_data, atlas_engineering, atlas_impulse_response, bckgrd_atlas, calibrations, dead_time, dead_time_radiometric_signal_loss, first_photon_bias, geolocation, geophys_corr, gt1l, gt1r, gt2l, gt2r, gt3l, gt3r, heights, inlandwater, land, land_ice, low_link_impulse_response, none, ocean, orbit_info, pce1_spot1, pce2_spot3, quality_assessment, receiver, sea_ice, signal_find_input, signal_find_output, tep, tep_histogram, transmit\n"
     ]
    }
   ],
   "source": [
    "region_gis.order_vars.avail(options=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above list we would probably want to look at the heights for each of the tracks (gt). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'atlas_sdp_gps_epoch': ['ancillary_data/atlas_sdp_gps_epoch'],\n",
      " 'data_end_utc': ['ancillary_data/data_end_utc'],\n",
      " 'data_start_utc': ['ancillary_data/data_start_utc'],\n",
      " 'end_delta_time': ['ancillary_data/end_delta_time'],\n",
      " 'granule_end_utc': ['ancillary_data/granule_end_utc'],\n",
      " 'granule_start_utc': ['ancillary_data/granule_start_utc'],\n",
      " 'sc_orient': ['orbit_info/sc_orient'],\n",
      " 'sc_orient_time': ['orbit_info/sc_orient_time'],\n",
      " 'sigma_h': ['gt1l/geolocation/sigma_h',\n",
      "             'gt1r/geolocation/sigma_h',\n",
      "             'gt2l/geolocation/sigma_h',\n",
      "             'gt2r/geolocation/sigma_h',\n",
      "             'gt3l/geolocation/sigma_h',\n",
      "             'gt3r/geolocation/sigma_h'],\n",
      " 'sigma_lat': ['gt1l/geolocation/sigma_lat',\n",
      "               'gt1r/geolocation/sigma_lat',\n",
      "               'gt2l/geolocation/sigma_lat',\n",
      "               'gt2r/geolocation/sigma_lat',\n",
      "               'gt3l/geolocation/sigma_lat',\n",
      "               'gt3r/geolocation/sigma_lat'],\n",
      " 'sigma_lon': ['gt1l/geolocation/sigma_lon',\n",
      "               'gt1r/geolocation/sigma_lon',\n",
      "               'gt2l/geolocation/sigma_lon',\n",
      "               'gt2r/geolocation/sigma_lon',\n",
      "               'gt3l/geolocation/sigma_lon',\n",
      "               'gt3r/geolocation/sigma_lon'],\n",
      " 'start_delta_time': ['ancillary_data/start_delta_time'],\n",
      " 'surf_type': ['gt1l/geolocation/surf_type',\n",
      "               'gt1r/geolocation/surf_type',\n",
      "               'gt2l/geolocation/surf_type',\n",
      "               'gt2r/geolocation/surf_type',\n",
      "               'gt3l/geolocation/surf_type',\n",
      "               'gt3r/geolocation/surf_type']}\n"
     ]
    }
   ],
   "source": [
    "#creating a variable list\n",
    "region_gis.order_vars.append(var_list=['sigma_lon', 'sigma_lat', 'sigma_h', 'surf_type'])\n",
    "pprint(region_gis.order_vars.wanted)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Passing the wanted variables to order specification:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'time': '2019-05-22T00:00:00,2019-06-01T23:59:59',\n",
       " 'bbox': '-38.5,75.5,-36.5,76.5',\n",
       " 'Coverage': '/orbit_info/sc_orient,/orbit_info/sc_orient_time,/ancillary_data/atlas_sdp_gps_epoch,/ancillary_data/data_start_utc,/ancillary_data/data_end_utc,/ancillary_data/granule_start_utc,/ancillary_data/granule_end_utc,/ancillary_data/start_delta_time,/ancillary_data/end_delta_time,/gt1l/geolocation/sigma_lon,/gt1r/geolocation/sigma_lon,/gt2l/geolocation/sigma_lon,/gt2r/geolocation/sigma_lon,/gt3l/geolocation/sigma_lon,/gt3r/geolocation/sigma_lon,/gt1l/geolocation/sigma_lat,/gt1r/geolocation/sigma_lat,/gt2l/geolocation/sigma_lat,/gt2r/geolocation/sigma_lat,/gt3l/geolocation/sigma_lat,/gt3r/geolocation/sigma_lat,/gt1l/geolocation/sigma_h,/gt1r/geolocation/sigma_h,/gt2l/geolocation/sigma_h,/gt2r/geolocation/sigma_h,/gt3l/geolocation/sigma_h,/gt3r/geolocation/sigma_h,/gt1l/geolocation/surf_type,/gt1r/geolocation/surf_type,/gt2l/geolocation/surf_type,/gt2r/geolocation/surf_type,/gt3l/geolocation/surf_type,/gt3r/geolocation/surf_type'}"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "region_gis.subsetparams(Coverage=region_gis.order_vars.wanted)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Order Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Place na order:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of data order requests is  1  for  5  granules.\n",
      "Data request  1  of  1  is submitting to NSIDC\n",
      "order ID:  5000000700638\n",
      "Initial status of your order request at NSIDC is:  processing\n",
      "Your order status is still  processing  at NSIDC. Please continue waiting... this may take a few moments.\n",
      "Your order is:  complete_with_errors\n",
      "NSIDC provided these error messages:\n",
      "['177292034:NoMatchingData - No data found that matched subset constraints. '\n",
      " 'Exit code 3.',\n",
      " '177246488:NoMatchingData - No data found that matched subset constraints. '\n",
      " 'Exit code 3.',\n",
      " '177247524:NoMatchingData - No data found that matched subset constraints. '\n",
      " 'Exit code 3.',\n",
      " 'PT6.856S',\n",
      " 'ICESAT2']\n",
      "Your order is: complete_with_errors\n"
     ]
    }
   ],
   "source": [
    "region_gis.order_granules()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['5000000700638']"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View a short list of order IDs:\n",
    "region_gis.granules.orderIDs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download the order:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Beginning download of zipped output...\n",
      "Data request 5000000700638 of  1  order(s) is downloaded.\n",
      "Download complete\n"
     ]
    }
   ],
   "source": [
    "path = './download'\n",
    "\n",
    "# without variable subsetting, or with variable subsetting if you have run region_a.order_granules(Coverage=region_a.order_vars.wanted)\n",
    "region_gis.download_granules(path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check if the granules are in the download folder."
   ]
  }
 ],
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